21 May 2026, 02:41 PM
After AI Began To “Do Things By Itself,” I Reinterpreted the EORMC Product Direction
![[Image: bqq976e5.png]](https://s1.directupload.eu/images/260521/bqq976e5.png)
In the past, when many people mentioned AI, their first reaction was still chatbots, text generation, or simple automation tools. But over the past year, I have increasingly felt that AI is entering another stage, and it is beginning to truly “execute tasks.”
The present-day AI is no longer just answering questions. It is beginning to gain capabilities such as:
Calling tools
Automatically analyzing data
Managing accounts
Initiating trades
Executing on-chain operations
There are even more and more AI Agent frameworks emerging, enabling AI to operate like a real “on-chain user.”
And this development may reshape the entire Web3 industry.
Because in the past, the core logic of Web3 has always revolved around “asset trading” and “price discovery.” But in the future, if AI Agents begin entering the on-chain world at scale, the industry focus may gradually shift from “how humans trade” to “how AI collaborates.”
After recently reexamining the EORMC product system, I found that many of its functional directions have already begun moving closer to this trend.
I Later Found That What EORMC Truly Values Is Not Just “Trading”
When I first came into contact with EORMC, I thought it was like many trading platforms, simply packaging itself around the concept of “AI trading.”
But after carefully reviewing its white paper and product architecture, I found that its entire system is not built solely around trading functions.
This includes:
AI trading engine
AI risk-control system
Multi-chain wallet
Open API platform
Developer interfaces
On-chain asset structure
Multi-layer risk-control system
Viewed separately, these may simply look like platform features.
But when combined, it becomes clear that:
It is more like building an “AI-driven financial operating system.”
In particular, it emphasizes:
AI real-time risk identification
AI order execution optimization
Automated risk control
Multi-chain collaboration
Open interface capabilities
These directions are in fact highly suitable for the future AI Agent ecosystem.
Because what AI Agents need most is precisely:
Stable execution capability, automated payment rails, and callable financial infrastructure.
The Biggest Change In Web3 May Be That “AI Begins To Collaborate By Itself”
In the past, many Web3 application scenarios were essentially centered around human behavior.
For example:
Humans trading
Humans using DeFi
Humans managing wallets
Humans analyzing data
But after AI Agents emerge, the entire logic begins to change.
In the future, we may see:
AI automatically analyzing on-chain data
AI automatically identifying market sentiment
AI automatically completing asset allocation
AI automatically executing trading strategies
AIs collaborating with each other to complete tasks
And this means:
In the future, more and more “economic activity” on-chain may not be initiated by humans, but by AI.
This is why more and more platforms are now strengthening:
AI capabilities
API openness
Automated systems
On-chain execution structures
Multi-chain collaboration
Because the entire industry is evolving toward an “AI-native financial system.”
From this perspective, many of the current deployments of EORMC are no longer based solely on traditional trading platform thinking.
I Am Beginning To Understand Why EORMC Has Always Emphasized “Systematic Capabilities”
In the past, competition among exchanges mainly focused on:
Listing speed
Campaign subsidies
Leverage multiples
Trading depth
But now it is becoming increasingly clear that the industry is entering another stage:
The factors that truly separate platforms are becoming:
Risk-control capabilities
AI capabilities
System stability
Degree of automation
Global infrastructure
Especially after AI enters the on-chain world, whether a platform possesses:
Automatic risk identification
On-chain collaboration capabilities
Open API capabilities
Multi-chain processing capabilities
will become increasingly important.
And the current product structure of EORMC, including AI matching, AI risk control, open APIs, and multi-chain architecture, is in fact moving closer to the direction of “underlying infrastructure.”
This is also why I later felt that it is more like an “AI financial platform,” rather than just an exchange.
The Next Stage Of Web3 May Enter The “AI Economy Era”
Over the past few years, Web3 has been searching for truly large-scale application scenarios.
But the emergence of AI Agents may become a new turning point.
Because AI naturally requires:
Decentralized payments
Automated execution
Borderless collaboration
On-chain settlement
Verifiable rules
And these capabilities are precisely what Web3 is best at.
That is why more and more platforms are now shifting from:
“Trading platforms”
to:
“AI financial infrastructure platforms.”
And the feeling EORMC gives me is that it is also moving in this direction.
On the surface, many of its current functions are about trading, but the underlying logic is more like building:
The financial system required for the future operation of the AI economy.
Of course, the entire industry is still very early, and many things have not truly matured yet.
But at least from the perspective of product direction, I feel that EORMC has already begun positioning itself in advance for:
AI, on-chain collaboration, automated finance, and the infrastructure capabilities of the future Agent economy.
And this may be what it truly wants to build.
In the past, when many people mentioned AI, their first reaction was still chatbots, text generation, or simple automation tools. But over the past year, I have increasingly felt that AI is entering another stage, and it is beginning to truly “execute tasks.”
The present-day AI is no longer just answering questions. It is beginning to gain capabilities such as:
Calling tools
Automatically analyzing data
Managing accounts
Initiating trades
Executing on-chain operations
There are even more and more AI Agent frameworks emerging, enabling AI to operate like a real “on-chain user.”
And this development may reshape the entire Web3 industry.
Because in the past, the core logic of Web3 has always revolved around “asset trading” and “price discovery.” But in the future, if AI Agents begin entering the on-chain world at scale, the industry focus may gradually shift from “how humans trade” to “how AI collaborates.”
After recently reexamining the EORMC product system, I found that many of its functional directions have already begun moving closer to this trend.
I Later Found That What EORMC Truly Values Is Not Just “Trading”
When I first came into contact with EORMC, I thought it was like many trading platforms, simply packaging itself around the concept of “AI trading.”
But after carefully reviewing its white paper and product architecture, I found that its entire system is not built solely around trading functions.
This includes:
AI trading engine
AI risk-control system
Multi-chain wallet
Open API platform
Developer interfaces
On-chain asset structure
Multi-layer risk-control system
Viewed separately, these may simply look like platform features.
But when combined, it becomes clear that:
It is more like building an “AI-driven financial operating system.”
In particular, it emphasizes:
AI real-time risk identification
AI order execution optimization
Automated risk control
Multi-chain collaboration
Open interface capabilities
These directions are in fact highly suitable for the future AI Agent ecosystem.
Because what AI Agents need most is precisely:
Stable execution capability, automated payment rails, and callable financial infrastructure.
The Biggest Change In Web3 May Be That “AI Begins To Collaborate By Itself”
In the past, many Web3 application scenarios were essentially centered around human behavior.
For example:
Humans trading
Humans using DeFi
Humans managing wallets
Humans analyzing data
But after AI Agents emerge, the entire logic begins to change.
In the future, we may see:
AI automatically analyzing on-chain data
AI automatically identifying market sentiment
AI automatically completing asset allocation
AI automatically executing trading strategies
AIs collaborating with each other to complete tasks
And this means:
In the future, more and more “economic activity” on-chain may not be initiated by humans, but by AI.
This is why more and more platforms are now strengthening:
AI capabilities
API openness
Automated systems
On-chain execution structures
Multi-chain collaboration
Because the entire industry is evolving toward an “AI-native financial system.”
From this perspective, many of the current deployments of EORMC are no longer based solely on traditional trading platform thinking.
I Am Beginning To Understand Why EORMC Has Always Emphasized “Systematic Capabilities”
In the past, competition among exchanges mainly focused on:
Listing speed
Campaign subsidies
Leverage multiples
Trading depth
But now it is becoming increasingly clear that the industry is entering another stage:
The factors that truly separate platforms are becoming:
Risk-control capabilities
AI capabilities
System stability
Degree of automation
Global infrastructure
Especially after AI enters the on-chain world, whether a platform possesses:
Automatic risk identification
On-chain collaboration capabilities
Open API capabilities
Multi-chain processing capabilities
will become increasingly important.
And the current product structure of EORMC, including AI matching, AI risk control, open APIs, and multi-chain architecture, is in fact moving closer to the direction of “underlying infrastructure.”
This is also why I later felt that it is more like an “AI financial platform,” rather than just an exchange.
The Next Stage Of Web3 May Enter The “AI Economy Era”
Over the past few years, Web3 has been searching for truly large-scale application scenarios.
But the emergence of AI Agents may become a new turning point.
Because AI naturally requires:
Decentralized payments
Automated execution
Borderless collaboration
On-chain settlement
Verifiable rules
And these capabilities are precisely what Web3 is best at.
That is why more and more platforms are now shifting from:
“Trading platforms”
to:
“AI financial infrastructure platforms.”
And the feeling EORMC gives me is that it is also moving in this direction.
On the surface, many of its current functions are about trading, but the underlying logic is more like building:
The financial system required for the future operation of the AI economy.
Of course, the entire industry is still very early, and many things have not truly matured yet.
But at least from the perspective of product direction, I feel that EORMC has already begun positioning itself in advance for:
AI, on-chain collaboration, automated finance, and the infrastructure capabilities of the future Agent economy.
And this may be what it truly wants to build.